Consultant, Data Engineer
- Chicago, IL
Do you enjoy making sure that information is accessible and easy to use? So do we.
You're a data designer who knows how to find, store and present a range of information from different sources so that everyone can access what they need quickly and simply, and use it effectively.
You draw on your considerable experience in bringing data and statistics to life to solve sometimes complex problems, and you're comfortable looking after several projects at once. You're able to make your own decisions while at the same time supporting more junior team members.
About the Role:
As a Consultant, Data Engineering, you know the importance of data to business. You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making. You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis.
Day to Day you will:
- Use your knowledge to plan and deliver data warehouse and storage
- Take part in designing and running bespoke data services for individual projects
- Stay up to date with business best practice in using and retrieving data
- Design, develop, adapt and maintain data warehouse architecture and relational databases that support data mining
- Customize storage and extraction, metadata, and information repositories
- Create and use effective metrics and monitoring processes
- Help to develop business intelligence tools
- Support deal teams by providing subject knowledge and solutions for client proposals
- Author reports that include key performance indicators, show where current operations can be improved, and identify the causes of any problems
- Create and maintain report forms and formats, information dashboards, data generators and canned reports, as well as other information portals and resources
- Travel as required
You've got great experience in data and analysis, and how to source, store and share information. You're a problem solver who's happy to work autonomously and to share their knowledge and skills, as well as guiding other team members.
- Database, storage, data lake, collection and aggregation models, techniques and technologies - and how to apply them in business
- Experience in structured problem solving
- Phenomenal project and people management
- Using tools such as Databricks, Azure Data Warehouse, Azure Data Lake, Azure SQL, Data Vault, Informatica, Teradata, Hadoop, Spark
You're likely to have a Bachelor's degree in Applied Mathematics, Statistics or another relevant field, or an equivalent combination of education and experience. You also have three to five years of relevant professional experience.
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